Postúlate en Kit Empleo: kitempleo.cl/empleo/19yrl5

We are looking for a Lead GenAI Engineer to drive the design and improvement of AI-powered products built on large language models (LLMs). You will shape scalable backend services, integrate LLM APIs, and run reliable deployments in cloud environments with a preference for Azure. Apply now to help deliver efficient, production-grade GenAI solutions. Responsibilities Design and improve backend services that scale for AI/LLM applications Integrate and operate LLM-based applications in cloud environments, preferably Azure Build CI/CD pipelines that streamline and automate deployments Optimize performance, cost-efficiency, and reliability across AI services Establish observability and logging to track LLM API performance Partner with AI/DS and DevOps teams to refine workflows and strengthen system reliability Develop APIs and microservices that enable AI-powered features Resolve issues around latency, cost control, retries, and fallbacks in LLM-backed applications Apply SQL/NoSQL databases, Redis,



and Kafka within the backend architecture Use Databricks and Model Context Protocol to improve AI workflows Requirements Hands‑on experience of 5 years in Python backend engineering with strong FastAPI expertise Proven track record building and operating GenAI applications with a focus on large language models (LLMs) Deep understanding of prompt engineering, agentic workflows, and orchestration patterns Practical knowledge of LLM API integration and operational best practices Solid background in designing scalable backend architectures for LLM‑powered APIs Working knowledge of SQL/NoSQL databases, Redis, and Kafka Experience using Databricks and MCP (Model Context Protocol) in real‑world projects Excellent English communication skills at a B2+ (Upper‑Intermediate) level Nice to have Advanced expertise in agentic workflows Working familiarity with Databricks and Model Context Protocol We offer International projects with top brands

Postúlate en Kit Empleo: kitempleo.cl/empleo/19yrl5

📌 Lead GenAI Engineer (Renca)
🏢 EPAM Systems
📍 Renca